Potomac

ML Data Engineer (100% On-Site |Contract-to-hire)

Bethesda, MD · Full-time

No sponsorshipDetected 16 days ago

PythonAWSGCPAzureCloud PlatformsMachine LearningAirflowData EngineeringA/B TestingCommunicationProblem Solving

About the role

This role will focus on designing and maintaining data pipelines, enabling machine learning and analytics use cases, and ensuring high-quality, well-governed data is available across the organization.

Design, build, and maintain scalable data pipelines to ingest data from multiple internal and external sources (APIs, SaaS platforms, databases, files).
Implement ELT/ETL processes to clean, validate, transform, and model data into trusted datasets.
Partner with analytics and business teams to define data requirements, metrics, and reporting outputs.
Support downstream data consumption for BI tools, dashboards, operational reporting, and partner data exports.
Collaborate cross-functionally to deliver scalable, maintainable data solutions aligned with business priorities.
Summary Potomac is continuing to invest in modern data and AI capabilities to support our growing business.

Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related field (or equivalent experience).
Strong proficiency in Python and SQL.
Experience with modern data platforms (data lakes, data warehouses, or lakehouse architectures).
Familiarity with orchestration tools (e.g., Airflow, Dagster, Prefect) and data transformation frameworks.
Experience integrating data from APIs and third-party systems.
Strong problem-solving skills and ability to work independently in a fast-paced environment.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
Familiarity with cloud platforms (AWS, Azure, or GCP).
Experience with streaming or near-real-time data pipelines.
Knowledge of data governance, security, and compliance best practices.

We attract people who think critically, communicate clearly, and execute with urgency.
People who care deeply about their work and don't need handholding to make things happen.
This position will work closely with Operations, Technology, Analytics, and business stakeholders to translate data needs into reliable, production-ready data solutions.
Ensure data quality, freshness, and reliability through monitoring, alerting, and automated validation checks.
Apply best practices around data governance, security, access controls, and documentation.
Continuously improve performance, cost efficiency, and reliability of the data platform.
Required Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related field (or equivalent experience).
4+ years of experience in data engineering or related roles.

Develop and manage a centralized data lake / lakehouse to standardize and curate data for analytics, reporting, and machine learning use cases.
Build and maintain machine-learning-ready datasets and feature pipelines that support experimentation and production models.

We are seeking a Machine Learning Data Engineer to join our team and play a critical role in building and scaling our data infrastructure.
At Potomac, we're not for everyone-and that's by design.

This listing is sourced directly from Potomac's careers page and normalized into a canonical job model.